Tag Archives: MDM
Structure, Semantics and Master Data Models – Part 1
Looking back at some of my Informatica Perspectives posts over the past year or so, I reflected on some common themes about data management and data governance, especially in the context of master data management and particularly, master data models. As both the tools and the practices around MDM mature, we have seen some disillusionment in attempts to deploy an MDM solution, with our customers noting that they continue to hit bumps in the road in the technical implementation associated with both master data consolidation and then with publication of shared master data.
Almost every issue we see can be characterized into one of three buckets: (more…)
Opportunities for Healthcare Organizations to Move Data Forward
In this video, Richard Cramer, chief healthcare strategist, Informatica, talks about the opportunities for healthcare organizations to move data forward. He touches on relationship analytics, master data management (MDM), data quality and Complex Event Processing (CEP). He specifically answers the following questions:
- What are some of the major opportunities for healthcare organizations to move data forward?
- What technology is most poised to deliver benefits to healthcare organizations today?
- How can Informatica help healthcare organizations in their quest to deliver proactive medicine?
Informatica University…….Accelerate Your Return On Data
As we look at 2012 it is abundantly clear that the importance of “data” is on the rise….big data, data management, master data management (MDM), data governance….these major trends are all getting increased attention in business, technology and mainstream media. Considering that data management was even mentioned by President Obama during the recent State of the Union Address, it’s safe to say that data’s time has definitely come!
Successfully executing any one of these data-centered initiatives and realizing the desired ‘return on data’ requires one fundamental ingredient……data you and your business users can trust. After all, without confidence in the data you are relying on, it’s back to the old adage of ‘garbage in, garbage out’. Fortunately, Informatica’s relentless pursuit to be a leader in data integration means you have the right MDM, data quality and data integration tools to help get the job done. (more…)
Social Media Monitoring with CEP, pt. 2: Context As Important As Sentiment
When I last wrote about social media monitoring, I made a case for using a technology like Complex Event Processing (“CEP”) to detect rapidly growing and geospatially-oriented social media mentions that can provide early warning detection for the public good (Social Media Monitoring for Early Warning of Public Safety Issues, Oct. 27, 2011).
A recent article by Chris Matyszczyk of CNET highlights the often conflicting and confusing nature of monitoring social media. A 26-year old British citizen, Leigh Van Bryan, gearing up for a holiday of partying in Los Angeles, California (USA), tweeted in British slang his intention to have a good time: “Free this week, for quick gossip/prep before I go and destroy America.” Since I’m not too far removed the culture of youth, I did take this to mean partying, cutting loose, having a good time (and other not-so-current definitions.) (more…)
ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program
Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?
In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):
- BI hasn’t fully empowered information workers, who still largely depend on IT
- BI platforms, tools and applications aren’t agile enough (more…)
What it Takes to Be a Leader in Data Virtualization!
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)
Informatica Positioned in the Recent Gartner Magic Quadrant for MDM
Gartner recently published its annual Magic Quadrant for Master Data Management of Customer Data Solutions, which “positions MDM of customer data solution vendors (and their products) on the basis of their Completeness of Vision relative to the market and their Ability to Execute on that vision.” The growth of MDM market has been phenomenal – $1.6 billion in 2011, a growth of 21% from 2010, and projected to grow by the same rate to $1.9 billion in 2012. (more…)
Reading The Tea Leaves: Predictions For Data Quality In 2012
Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned in my previous post, we saw continued interest in data quality across all industries and I expect that trend to only continue to pick up steam in 2012. Here are three areas in particular that I foresee will rise to the surface: (more…)
Reflecting On Data Quality In 2011
With just a few days remaining in what has been an eventful year, I thought I’d take some time to reflect on the world of data quality as I’ve observed it over the past twelve months. While the idea of data quality improvement in general didn’t change much, the way that companies are viewing and approaching it most certainly have. Here are three areas that seemed to come up quite frequently:
Data governance awareness grew
In thinking about all the customer interactions that I was involved in throughout the year, it’s hard to come up with one where the topic of data governance didn’t surface. Whereas before, the topic of data governance only seemed to come up for companies with more mature data management organizations, now it seems everyone is looking to build a governance framework in conjunction with their data quality efforts. Furthermore, while previously the conversation was largely driven by IT, now it’s both IT and business stakeholders that are looking for answers to how data governance can help them drive better business outcomes. In increasingly competitive market conditions, we can only expect this trend to continue. Whether it’s focused on increasing revenue, driving out cost or managing risk and compliance, data quality with data governance is where companies of all sizes are turning to create and sustain a differentiated edge. Trends like big data will only make this need more acute. (more…)
How Are You Enabling Your Organizations Business Performance?
Are you accelerating your company’s project delivery needs?
Many Fortune 500 and Global 500 companies understand that their mission-critical data must be managed, so if you are a developer with the desire to work faster and better you should think about Informatica University Training and Certification.
Why? Because you can establish yourself as a key resource with the skills and experience to 1) ensure a trusted view of your organization’s business data, 2) to accelerate your company’s project delivery needs, or just 3) to demonstrate that you have the needed skills to provide your business the right information at the right time. (more…)